Ian Kim

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  5. Ian Kim

Postdoctoral Scholar

Psychology

Precision Medicine

Stanford University

Ian Kim (he/him/his) is a postdoctoral fellow in Psychology, specializing in computational science and systems engineering. His current research focuses on modeling and guiding individual- and context-specific health trajectories across diverse clinical populations by integrating dynamical systems theory with multi-dimensional neural networks. His long-term goal is to develop AI/ML-enhanced, frontier data science infrastructures for precision medicine that effectively synthesize high-dimensional, multimodal data across multiple time scales and reliably translate complex information into timely, personalized clinical care. Prior to Stanford, Ian completed his doctoral training in Preventive Medicine from University of Southern California, Keck School of Medicine.

Publications

5122592 Ian Kim 1 apa 50 date desc Kim, I 5214 https://thechangelab.stanford.edu/wp-content/plugins/zotpress/
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Kim, I., Boffa, J., Cho, M., Conroy, D. E., Kline, N., Haber, N., Robinson, T. N., Reeves, B., & Ram, N. (2025). Stanford Screenomics: An Open-source Platform for Unobtrusive Multimodal Digital Trace Data Collection from Android Smartphones. medRxiv. https://doi.org/10.1101/2025.06.24.25329707
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Kim, I., Robinson, T., Reeves, B., Harber, N., & Ram, N. (2025, May 27). Multimodal Data Fusion for Real-Time Mobile Digital Phenotyping: The Stanford Screenomics Solution [Oral Presentation]. Conference of the Society of Ambulatory Assessment 2025.
Kim, I., Boffa, J., Cho, M.-J., Conroy, D., Haber, N., Robinson, T., Reeves, B., & Ram, N. (2024, October 27). Stanford Screenomics: an open-source platform for unobtrusive multimodal digital trace data collection from Android smartphones [Abstract]. APHA 2024 Annual Meeting & Expo, Committee of Health Equity.